The Archive

Cohere releases Command R7B, compact generative model optimized for speed/efficiency on commodity GPUs and edge devices.

Cohere and NVIDIA partner on NVIDIA-native sovereign AI model for secure, locally-run enterprise deployment.

Cohere appoints chess champion Magnus Carlsen as brand ambassador for company reputation and strategy messaging.

Cohere C-suite guide on enterprise AI advantages: productivity, competitive advantage, and 2026 adoption strategies.

Cohere analysis of AI adoption in financial services: productivity gains, operational efficiency, and implementation pathways.

Cohere webinar on AI applications in financial services; generic promotional content.

Cohere and SAP expand partnership to deploy sovereign AI solutions for European enterprises through SAP Sovereign Cloud.

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.

We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative model also contains features competitive with top convolutional nets in the unsupervised setting.

We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.